15,917 research outputs found

    Hybrid mean field and real space model for vacancy diffusion-mediated annealing of radiation defects

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    In a fusion or advanced fission reactor, high energy neutrons induce the formation of extended defect clusters in structural component materials, degrading their properties over time. Such damage can be partially recovered via a thermal annealing treatment. Therefore, for the design and operation of fusion and advanced fission nuclear energy systems it is critical to estimate and predict the annealing timescales for arbitrary configurations of defect clusters. In our earlier paper [I. Rovelli, S. L. Dudarev, and A. P. Sutton, J. Mech. Phys. Solids 103, 121 (2017)] we extended the Green function formulation by Gu, Xiang et al. [Y. Gu, Y. Xiang, S. S. Quek, and D. J. Srolovitz, J. Mech. Phys. Solids 83, 319 (2015)] for the climb of curved dislocations, to include the evaporation and growth of cavities and vacancy clusters, and take into account the effect of free surfaces. In this work, we further develop this model to include the effect of radiation defects that are below the experimental detection limit, via a mean field approach coupled with an explicit treatment of the evolution of discrete defect clusters distributed in real space. We show that randomly distributed small defects screen diffusive interactions between larger discrete clusters. The evolution of the coupled system is modelled self-consistently. We also simulate the evolution of defects in an infinite laterally extended thin film, using the Ewald summation of screened Yukawa-type diffusive propagators

    Exploring the use of learning communities of practice within a degree apprenticeship through university and partnership provision while incorporating the use of inclusive principles and practice

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    Learning communities and communities of practice (CoPs) are important aspects of the degree apprentice (DA) experience within higher education. DA programming differs to mainstream higher education programmes as the apprentices are ‘employees’ that spend most of their week working within an organisational setting. DAs in the United Kingdom are formally set 20% ‘off the job’ learning hours that include tuition as well as designated studies directly related to a job roles’ knowledge, skills, behaviours and values. This presentation looks at how concepts of learning within communities and inclusive practice have been nurtured within a DA programme to develop sustainable curricular and extra-curricular elements. As a part of ongoing research being undertaken using the BSc (Hons) Professional Practice in Business to Business Sales DA, this presentation focuses on how academic providers and partners work together to deliver inclusive tuition while considering the importance of learning communities of practice that must consider participation of employers and professional organisations. Inclusive practice includes requirements outlined in the new university strategic plan and in the Apprenticeship Standards. Emerging findings from recent apprentice/student questionnaires have indicated that apprentices, especially Generation Y and Z (McCrindle, 2014), are interested in how the providers might incorporate their insights about inclusive practice into their studies and professional practice. The presentation includes reflections from the current Programme Leaders from Consalia Ltd. and Marketing Branding and Tourism and the past Programme Leader (Education) to consider practical recommendations that could be adopted within the learning communities of practice from a Sales area of practice perspective and deliberates on what more needs to be done to create a dialogue that promotes inclusion and diversity (CIPD, 2022) within the university contex

    Thrust vector control study for large /260 inch/ rocket motor applications

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    Design concepts of thrust vector control for large rocket motor application

    Where are we now with aphasia after stroke?

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    Objective: To provide a brief review of research literature relating to the current state of knowledge regarding speech and language therapy for people with aphasia and place these research findings within the context of outcome data of non-selected patients receiving usual therapy in the UK. Methods: Part 1 presents a literature search aimed at exploring up-to-date information related to the nature and evolution of aphasia, the impact of therapy and the changing nature of therapy. This provides the context of what may be achieved in rehabilitation. Part 2 examines of the impact of speech and language therapy on 1664 prospective patients receiving therapy for aphasia after stroke by 3 different types of service provision was collected and statistically analysed. The Therapy Outcome Measure was used to identify change in impairment, activity, participation and well-being at the beginning and end of therapy. Results: The findings from the non-selected group of patients supports the conclusions of the reported randomised control trials in that speech and language therapy for post stroke aphasia is associated with gains in one or more of the domains of the International Classification of Functioning

    Theory and Simulation of the diffusion of kinks on dislocations in bcc metals

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    Isolated kinks on thermally fluctuating (1/2) screw, edge and (1/2) edge dislocations in bcc iron are simulated under zero stress conditions using molecular dynamics (MD). Kinks are seen to perform stochastic motion in a potential landscape that depends on the dislocation character and geometry, and their motion provides fresh insight into the coupling of dislocations to a heat bath. The kink formation energy, migration barrier and friction parameter are deduced from the simulations. A discrete Frenkel-Kontorova-Langevin (FKL) model is able to reproduce the coarse grained data from MD at a fraction of the computational cost, without assuming an a priori temperature dependence beyond the fluctuation-dissipation theorem. Analytic results reveal that discreteness effects play an essential r\^ole in thermally activated dislocation glide, revealing the existence of a crucial intermediate length scale between molecular and dislocation dynamics. The model is used to investigate dislocation motion under the vanishingly small stress levels found in the evolution of dislocation microstructures in irradiated materials

    Synthesizing Program Input Grammars

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    We present an algorithm for synthesizing a context-free grammar encoding the language of valid program inputs from a set of input examples and blackbox access to the program. Our algorithm addresses shortcomings of existing grammar inference algorithms, which both severely overgeneralize and are prohibitively slow. Our implementation, GLADE, leverages the grammar synthesized by our algorithm to fuzz test programs with structured inputs. We show that GLADE substantially increases the incremental coverage on valid inputs compared to two baseline fuzzers

    Estimating the cost-effectiveness of detecting cases of chronic hepatitis C infection on reception into prison

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    Background In England and Wales where less than 1% of the population are Injecting drug users (IDUs), 97% of HCV reports are attributed to injecting drug use. As over 60% of the IDU population will have been imprisoned by the age of 30 years, prison may provide a good location in which to offer HCV screening and treatment. The aim of this work is to examine the cost effectiveness of a number of alternative HCV case-finding strategies on prison reception Methods A decision analysis model embedded in a model of the flow of IDUs through prison was used to estimate the cost effectiveness of a number of alternative case-finding strategies. The model estimates the average cost of identifying a new case of HCV from the perspective of the health care provider and how these estimates may evolve over time. Results The results suggest that administering verbal screening for a past positive HCV test and for ever having engaged in illicit drug use prior to the administering of ELISA and PCR tests can have a significant impact on the cost effectiveness of HCV case-finding strategies on prison reception; the discounted cost in 2017 being £2,102 per new HCV case detected compared to £3,107 when no verbal screening is employed. Conclusion The work here demonstrates the importance of targeting those individuals that have ever engaged in illicit drug use for HCV testing in prisons, these individuals can then be targeted for future intervention measures such as treatment or monitored to prevent future transmission

    Large-Scale Image Processing with the ROTSE Pipeline for Follow-Up of Gravitational Wave Events

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    Electromagnetic (EM) observations of gravitational-wave (GW) sources would bring unique insights into a source which are not available from either channel alone. However EM follow-up of GW events presents new challenges. GW events will have large sky error regions, on the order of 10-100 square degrees, which can be made up of many disjoint patches. When searching such large areas there is potential contamination by EM transients unrelated to the GW event. Furthermore, the characteristics of possible EM counterparts to GW events are also uncertain. It is therefore desirable to be able to assess the statistical significance of a candidate EM counterpart, which can only be done by performing background studies of large data sets. Current image processing pipelines such as that used by ROTSE are not usually optimised for large-scale processing. We have automated the ROTSE image analysis, and supplemented it with a post-processing unit for candidate validation and classification. We also propose a simple ad hoc statistic for ranking candidates as more likely to be associated with the GW trigger. We demonstrate the performance of the automated pipeline and ranking statistic using archival ROTSE data. EM candidates from a randomly selected set of images are compared to a background estimated from the analysis of 102 additional sets of archival images. The pipeline's detection efficiency is computed empirically by re-analysis of the images after adding simulated optical transients that follow typical light curves for gamma-ray burst afterglows and kilonovae. We show that the automated pipeline rejects most background events and is sensitive to simulated transients to limiting magnitudes consistent with the limiting magnitude of the images

    Sexual recombination is a signature of a persisting malaria epidemic in Peru

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    <p>Abstract</p> <p>Background</p> <p>The aim of this study was to consider the impact that multi-clone, complex infections have on a parasite population structure in a low transmission setting. In general, complexity of infection (minimum number of clones within an infection) and the overall population level diversity is expected to be minimal in low transmission settings. Additionally, the parasite population structure is predicted to be clonal, rather than sexual due to infrequent parasite inoculation and lack of recombination between genetically distinct clones. However, in this low transmission of the Peruvian Amazon, complex infections are becoming more frequent, in spite of decreasing infection prevalence. In this study, it was hypothesized that sexual recombination between distinct clonal lineages of <it>Plasmodium falciparum </it>parasites were altering the subpopulation structure and effectively maintaining the population-level diversity.</p> <p>Methods</p> <p>Fourteen microsatellite markers were chosen to describe the genetic diversity in 313 naturally occurring <it>P. falciparum </it>infections from Peruvian Amazon. The population and subpopulation structure was characterized by measuring: clusteredness, expected heterozygosity (H<sub>e</sub>), allelic richness, private allelic richness, and linkage disequilibrium. Next, microsatellite haplotypes and alleles were correlated with <it>P. falciparum </it>merozoite surface protein 1 Block 2 (<it>Pf</it>msp1-B2) to examine the presence of recombinant microsatellite haplotypes.</p> <p>Results</p> <p>The parasite population structure consists of six genetically diverse subpopulations of clones, called "clusters". Clusters 1, 3, 4, and 6 have unique haplotypes that exceed 70% of the total number of clones within each cluster, while Clusters 2 and 5 have a lower proportion of unique haplotypes, but still exceed 46%. By measuring the H<sub>e</sub>, allelic richness, and private allelic richness within each of the six subpopulations, relatively low levels of genetic diversity within each subpopulation (except Cluster 4) are observed. This indicated that the number of alleles, and not the combination of alleles, are limited. Next, the standard index of association (I<sub>A</sub><sup>S</sup>) was measured, which revealed a significant decay in linkage disequilibrium (LD) associated with Cluster 6, which is indicative of independent assortment of alleles. This decay in LD is a signature of this subpopulation approaching linkage equilibrium by undergoing sexual recombination. To trace possible recombination events, the two most frequent microsatellite haplotypes observed over time (defined by either a K1 or Mad20) were selected as the progenitors and then potential recombinants were identified in within the natural population.</p> <p>Conclusions</p> <p>Contrary to conventional low transmission models, this study provides evidence of a parasite population structure that is superficially defined by a clonal backbone. Sexual recombination does occur and even arguably is responsible for maintaining the substructure of this population.</p
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